README.md

metadata

language:
  - zh
  - en
license: apache-2.0
tags:
  - qwen2.5
pipeline_tag: text-generation
model-index:
  - name: B-and-W_Flycatcher-3AD1E
    results:
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: IFEval (0-Shot)
          type: HuggingFaceH4/ifeval
          args:
            num_few_shot: 0
        metrics:
          - type: inst_level_strict_acc and prompt_level_strict_acc
            value: 49.08
            name: strict accuracy
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=NLPark/B-and-W_Flycatcher-3AD1E
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: BBH (3-Shot)
          type: BBH
          args:
            num_few_shot: 3
        metrics:
          - type: acc_norm
            value: 43.74
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=NLPark/B-and-W_Flycatcher-3AD1E
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: MATH Lvl 5 (4-Shot)
          type: hendrycks/competition_math
          args:
            num_few_shot: 4
        metrics:
          - type: exact_match
            value: 15.71
            name: exact match
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=NLPark/B-and-W_Flycatcher-3AD1E
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: GPQA (0-shot)
          type: Idavidrein/gpqa
          args:
            num_few_shot: 0
        metrics:
          - type: acc_norm
            value: 10.74
            name: acc_norm
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=NLPark/B-and-W_Flycatcher-3AD1E
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: MuSR (0-shot)
          type: TAUR-Lab/MuSR
          args:
            num_few_shot: 0
        metrics:
          - type: acc_norm
            value: 13.88
            name: acc_norm
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=NLPark/B-and-W_Flycatcher-3AD1E
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: MMLU-PRO (5-shot)
          type: TIGER-Lab/MMLU-Pro
          config: main
          split: test
          args:
            num_few_shot: 5
        metrics:
          - type: acc
            value: 41.56
            name: accuracy
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=NLPark/B-and-W_Flycatcher-3AD1E
          name: Open LLM Leaderboard

Base Model: Qwen2.5-14B-Instruct

License: Apache 2.0

Blue And White_Flycatcher-3AD1E

model for roleplay is here Cran-May/T.E-8.1

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	29.12
IFEval (0-Shot)	49.08
BBH (3-Shot)	43.74
MATH Lvl 5 (4-Shot)	15.71
GPQA (0-shot)	10.74
MuSR (0-shot)	13.88
MMLU-PRO (5-shot)	41.56